The disclosure relates to a method for displaying information, device, system, electronic device, and storage medium. The method includes acquiring, user tag of a user account in response to a trigger operation on an information page, the user tag corresponding to one or more types of media files of the user account. The method includes displaying the user tag on the information page. The method includes displaying an associated user account corresponding to the user tag in response to an operation of selecting target user tag from the user tag.

Embodiments of the present application provide a video stream playing control method and apparatus, a device, and a storage medium. The method comprises: in a situation that a human-computer interaction entrance invoking triggering condition is satisfied, stopping playing a first video stream, and invoking a human-computer interaction entrance for the first video stream while displaying a playing picture of the first video stream; after target feedback information is obtained by means of the human-computer interaction entrance or an instruction for closing the human-computer interaction entrance is received, closing the human-computer interaction entrance, and playing a second video stream different from the first video stream, the target feedback information comprising feedback information for the first video stream.

Techniques are disclosed for improving user experience of multimedia streaming over computer networks. More specifically, techniques presented herein reduce (or eliminate) latency in playback start time for streaming digital media content resulting from digital rights management (DRM) authorizations. A streaming media client (e.g., a browser, set-top box, mobile telephone or tablet “app”) may request a “fast-expiring” license for titles the streaming media client predicts a user is likely to begin streaming. A fast-expiring license is a DRM license (and associated decryption key) which is valid for only a very limited time after being used for playback. During the validity period of such a license, the client device requests a “normal” or “regular” license to continue accessing the title after the fast-expiring license expires.

Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Systems and methods are provided herein for flexibly using trending topics as parameters for recommending media assets that are related to a viewed media asset. A media guidance application may determine that a user has viewed a media asset. The media guidance may identify a plurality of attributes corresponding to the viewed media asset and determine that a respective attribute of the plurality of attributes matches a trending topic. The media guidance application may update a set of weightings corresponding to the plurality of attributes by increasing a weighting corresponding to the respective attribute and adjust a recommendation for a media asset different from the viewed media asset based on the updated set of weightings. The media guidance application may generate for display the recommendation of the media asset different from the viewed media asset.

Systems and methods are disclosed herein for detecting a first reaction by a user when consuming a media asset at a first time, where a first magnitude of the first reaction exceeds a first threshold. The systems and methods may determine whether a second reaction by the user occurred when the user consumed the media asset at a second time that is prior to the first time, where a second magnitude of the second reaction exceeds a second threshold, and may recommend the second media asset to the user.

Systems and methods are described for facilitating adjustment of multiple variables via a content guidance application. The method comprises generating, for display via a graphical user interface of a touchscreen, a first axis defining a first scale for a first adjustment characteristic. The method further comprises assigning to the first adjustment characteristic a plurality of first variables stored in memory. The method further comprises detecting, via the touchscreen, a touch input having a component along the first axis for adjusting the first adjustment characteristic. The method further comprises, in response to detecting the touch input, adjusting, in the memory, each of the plurality of first variables assigned to the first adjustment characteristic based on the touch input and the first scale.

Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Systems and methods are described herein for recommending content based on a mood score associated with a user profile. The system accesses the viewing history of the user profile to determine media assets consumed and the mood score associated with each of the consumed media assets of the plurality of media assets. A cumulative mood score is calculated based at least in part to determine if the total score is below a mood threshold. Based on the cumulative mood score being lower than the mood threshold, the system generates for presentation, on the consumer device, one or more media assets with a positive mood score.

Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.